Snowflake Partner Network · SPN

Partnership with Snowflake

We're part of the Snowflake Partner Network active in the ecosystem and its events. Our team tracks Snowflake's latest features and helps clients design, deploy and scale modern data solutions on Snowflake.

Openflow Cost optimization BYOC Multi-cluster scaling
Data integration

Snowflake Openflow

Openflow is Snowflake's modern data integration platform, powered by Apache NiFi seamless ingestion, transformation and routing from any source to any destination. It handles batch, streaming and multimodal data: structured, semi-structured and unstructured content like documents, images and events.

Deployed in your own AWS VPC, Openflow gives you full control role-based security, observability and isolation by team or environment. Its Bring Your Own Cloud (BYOC) model lets you customise deployments, meet compliance needs and integrate with private networks. Scalable runtimes and deep Snowflake integration make resilient, real-time pipelines straightforward to build.

Snowflake Data Cloud
Openflow · any source → any destination
ANYSOURCE OPENFLOW ANYDEST.
Cost optimization & monitoring

Snowflake is powerful. It's also a silent budget drain.

Teams spin up warehouses, leave old ones running and store terabytes they never query. Without a monitoring and cost strategy, the data warehouse becomes the most expensive line in the analytics budget and unmanaged, spend can double in months.

Over-provisioned warehouses running 24/7 for workloads that need a few hours of compute.
Unused tables & stale data quietly consuming storage cost month after month.
Untracked query usage from ad-hoc analysis and non-optimised ETL pipelines.
No cost visibility across teams so invoices spike and nobody owns it.

How we take control of your spend

01

Auto-suspend & auto-resume

Suspend warehouses after 5–10 minutes of inactivity; resume automatically when a query arrives. No charges while suspended.

Cuts compute 30–50%
02

Right-size warehouses

Start small, scale up only when performance truly demands it. Larger sizes for short bursts, not left running continuously.

03

Query profiling & caching

Find cost-driving queries via QUERY_HISTORY and WAREHOUSE_METERING_HISTORY; reuse cached results instead of re-running heavy queries.

04

Resource monitors & budgets

Alert or suspend warehouses when spend crosses a threshold, and allocate warehouses per team for real accountability.

05

Optimize storage

Drop or archive stale tables; use Time Travel and Fail-Safe judiciously; cluster automatically only where the gain justifies the cost.

06

Multi-cluster scaling

Use multi-cluster warehouses with min/max clusters extra clusters spin up only at high concurrency and scale down when idle.

07

Workload segregation

Separate warehouses for ELT/ETL, BI dashboards and ad-hoc queries, each scaling independently so one workload can't over-provision the rest.

08

Cost monitoring dashboard

Snowsight, dbt metrics or third-party tooling for near real-time spend by warehouse, team and query pattern trends caught before they become invoices.

Start on Snowflake

Most teams pay 30–50% more than they should.

Idle warehouses and untracked queries. Start with auto-suspend, resource monitors and right-sizing your next invoice will thank you.